Senior AWS Data Architect-Neenah, WI (Onsite – Day 1)

  • Neenah, WI
  • Posted 12 hours ago | Updated 12 hours ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Able to Provide Sponsorship

Skills

Keywords: AWS Data Lake
Cloud Data Architecture
Serverless
Scalable Architecture
S3 – data lake design Glue – ETL
catalog Redshift – data warehousing Athena – querying data lakes EMR / Spark – big data processing Lambda & Step Functions – orchestration Kinesis / MSK (Kafka) – streaming (strong plus)
Data Architecture & Modeling (Critical)
ETL / ELT & Data Pipelines

Job Details

Senior AWS Data Architect- Contract - Neenah, WI - ONSITE 

Location: Neenah, WI (Onsite – Day 1)
Relocation Required: Yes
Employment Type: Full-Time / Contract (as applicable)

Role Overview

We are seeking an experienced Senior AWS Data Architect to design, build, and optimize scalable cloud-based data platforms that support analytics, reporting, and data-driven decision-making. This is a 100% onsite role in Neenah, Wisconsin, and the selected candidate must be willing to relocate and work onsite from Day 1. This is not a travel-based role.

Key Responsibilities

  • Design and implement end-to-end data architectures on AWS, including:

    • Data Lakes

    • Data Warehouses

    • Streaming and real-time data solutions

  • Architect scalable, secure, and high-performance data pipelines.

  • Lead data modeling efforts for structured and unstructured data.

  • Build and optimize ETL/ELT pipelines using AWS-native and third-party tools.

  • Collaborate with business stakeholders, analytics teams, and engineering teams.

  • Ensure data quality, governance, security, and compliance best practices.

  • Optimize performance, cost, and scalability of AWS data solutions.

  • Provide technical leadership and mentorship to data engineering teams.

Required Skills & Qualifications

  • 10+ years of experience in data engineering and data architecture.

  • Strong hands-on experience with AWS services, including but not limited to:

    • S3, Glue, Redshift, Athena

    • EMR, Lambda, Step Functions

    • Kinesis, MSK (Kafka)

  • Strong experience with data modeling (dimensional, star/snowflake schemas).

  • Experience building large-scale data lakes and data warehouses.

  • Proficiency with SQL and at least one programming language (Python preferred).

  • Experience with ETL tools and big data ecosystems.

  • Strong understanding of data security, IAM, and compliance in AWS.

Nice to Have

  • AWS certifications (Solutions Architect / Data Specialty).

  • Experience with real-time/streaming data architectures.

  • Experience working in onsite, enterprise environments.

Location Requirements

  • Must be willing to relocate to Neenah, WI.

  • Must be onsite from Day 1 (no remote or travel arrangement).

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